3,109 research outputs found
Study of the excited charm and charm-strange mesons
We give a systematical study on the recently reported excited charm and
charm-strange mesons with potential spin-parity, including the
, , , ,
and . The main strong decay properties are
obtained by the framework of Bethe-Salpeter (BS) methods. Our results reveal
that the two charm-strange mesons can be well described by the further
- mixing scheme with a mixing angle of
degrees. The predicted decay ratio
for is .~ can also be
explained as the predominant state with a mixing angle of
degrees. Considering the mass range, and
are more likely to be the predominant states,
although the total widths under both the and assignments
have no great conflict with the current experimental data. The calculated width
for LHCb seems about 100 \si{MeV} larger than experimental
measurement if taking it as or dominant state .
The comparisons with other calculations and several important decay ratios are
also present. For the identification of these charm mesons, further
experimental information, such as
are necessary.Comment: 18 pages, 3 figure
Strong Decays of the Orbitally Excited Scalar Mesons
We calculate the two-body strong decays of the orbitally excited scalar
mesons and by using the relativistic Bethe-Salpeter
(BS) method. was observed recently by the LHCb Collaboration, the
quantum number of which has not been determined yet. In this paper, we assume
that it is the state and obtain the transition amplitude by using the
PCAC relation, low-energy theorem and effective Lagrangian method. For the
state, the total widths of and are 226 MeV
and 246 MeV, respectively. With the assumption of state, the widths
of and are both about 131 MeV, which is close
to the present experimental data. Therefore, is a strong
candidate for the state.Comment: 21 pages, 10 figure
Predicting nonlinear dynamics of optical solitons in optical fiber via the SCPINN
The strongly-constrained physics-informed neural network (SCPINN) is proposed
by adding the information of compound derivative embedded into the
soft-constraint of physics-informed neural network(PINN). It is used to predict
nonlinear dynamics and the formation process of bright and dark picosecond
optical solitons, and femtosecond soliton molecule in the single-mode fiber,
and reveal the variation of physical quantities including the energy,
amplitude, spectrum and phase of pulses during the soliton transmission. The
adaptive weight is introduced to accelerate the convergence of loss function in
this new neural network. Compared with the PINN, the accuracy of SCPINN in
predicting soliton dynamics is improved by 5-11 times. Therefore, the SCPINN is
a forward-looking method to study the modeling and analysis of soliton dynamics
in the fiber
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